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10th WSEAS International Conference on ARTIFICIAL

Cambridge, UK
February 20-22, 2011

Published by WSEAS Press

ISSN: 1792-8117
ISBN: 978-960-474-273-8

10th WSEAS International Conference on ARTIFICIAL
Cambridge, UK
February 20-22, 2011

Published by WSEAS Press

Copyright © 2011, by WSEAS Press

All the copyright of the present book belongs to the World Scientific and Engineering Academy and
Society Press. All rights reserved. No part of this publication may be reproduced, stored in a retrieval
system, or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, or
otherwise, without the prior written permission of the Editor of World Scientific and Engineering Academy
and Society Press.

All papers of the present volume were peer reviewed by two independent reviewers. Acceptance was
granted when both reviewers' recommendations were positive.
See also:

ISSN: 1792-8117
ISBN: 978-960-474-273-8

World Scientific and Engineering Academy and Society


10th WSEAS International Conference on ARTIFICIAL

Cambridge, UK
February 20-22, 2011

Prof. Zoran Bojkovic, University of Belgrade, SERBIA
Prof. Janusz Kacprzyk, International Fuzzy Systems Association, POLAND
Prof. Nikos Mastorakis, Technical University of Sofia, BULGARIA
Prof. Valeri Mladenov, Technical University of Sofia, BULGARIA
Prof. Roberto Revetria, University of Genoa, ITALY
Prof. Lotfi A. Zadeh, University of California, USA
Prof. Alexander Zemliak, Autonomous University of Puebla, MEXICO

Associate Editors:
Prof. Imre J. Rudas, Obuda University, HUNGARY
Prof. Roung-Jyue Fang, Southern Taiwan University of Technology, TAIWAN
Prof. Hua-Lin Tsai, National Kaohsiung Normal University, TAIWAN

International Program Committee Members:
Lotfi A. Zadeh, USA
Leonid Kazovsky, USA
Charles Long, USA
Roberto Revetria, USA
M. Isabel Garcia-Planas, SPAIN
Miguel Angel Gomez-Nieto, SPAIN
Akshai Aggarwal, CANADA
Pierre Borne, FRANCE
Valeri Mladenov, BULGARIA
Zoran S. Bojkovic, SERBIA
G. Stavrakakis, GREECE
Janusz Kacprzyk, POLAND
Angel Fernando Kuri Morales, MEXICO
Arie Maharshak, ISRAEL
Fumiaki Imado, JAPAN
Toly Chen, TAIWAN
Isak Taksa, USA
G. R. Dattatreya, USA
Shivanand Hiremath, INDIA

This year the 10th WSEAS International Conference on ARTIFICIAL INTELLIGENCE,
KNOWLEDGE ENGINEERING and DATA BASES (AIKED '11) was held in Cambridge, UK,
February 20-22, 2011. The conference remains faithful to its original idea of providing a
platform to discuss neural networks, mathematical foundation, time series analysis, fuzzy
systems, information retrieval systems, image processing, data security, business architectures,
video databases, content management, privacy issues, interoperability issues, knowledge
classification tools, digital watermarking, electronic publishing, artistic imaging, digital
typography, geographic information systems, wireless networks etc. with participants from all
over the world, both from academia and from industry.
Its success is reflected in the papers received, with participants coming from several countries,
allowing a real multinational multicultural exchange of experiences and ideas.
The accepted papers of this conference are published in this Book that will be indexed by ISI.
Please, check it: as well as in the CD-ROM Proceedings. They will
be also available in the E-Library of the WSEAS. The best papers will be also promoted in many
Journals for further evaluation.
A Conference such as this can only succeed as a team effort, so the Editors want to thank the
International Scientific Committee and the Reviewers for their excellent work in reviewing the
papers as well as their invaluable input and advice.
The Editors

Table of Contents

Plenary Lecture 1: Aggregation in Intelligent Systems 14

Imre J. Rudas

Plenary Lecture 2: Cosmology, Holography, the Brain and the Quantum Vacuum 15

Antonio Alfonso-Faus

Plenary Lecture 3: Content Delivery Networks: Evolution, Technology, Functions, Potential
Solutions, Research Areas

Zoran Bojkovic

Plenary Lecture 4: Case-Based Reasoning Framework for Medical Diagnosis for Virtual
Doctor System

Hamido Fujita

Thoughts and Thinking

Roger Ellman

A Genetic Algorithm for the Job Shop Scheduling with a New Local Search using Monte Carlo

Jorge Magalhaes-Mendes

Using Some Data Mining Techniques for Early Diagnosis of Lung Cancer 32

Zakaria Suliman Zubi, Rema Asheibani Saad

A Development of Portable Three Dimensional Position Data Measurement Device for
Character or Object Modeling in Computer Animation

Suriyong Lertkulvanich, Nithi Buranajant, Suwanna Sombunsukho

The Development of the Equipment Reservation System for Computer and Information
Technology Department

Chanin Tungpantong, Kullanit Laohaphiboonrattana, Chananda Pinta, Teeraporn Wattanasopa,
Napapol Sonjai

The Development Information System for Digital Media Service

Kasemsak Sritaratorn, Inthira Paleenud, Suwanna Sombunsukho, Nithi Buranajant

The Development Information System Student Care Center Project The case of Computer and
Information Technology Department

Suwanna Sombunsukho, Oraya Petchurai

The Development Information System for Administrative 52

Suwanna Sombunsukho, Kingkaew Phontrakoon

The Development Computer Assisted Instruction on Introduction to Programming Subject 55

Suwanna Sombunsukho, Warong Thavara, Prapatsorn Aninbon

A Study on the Innovative Design Processes by Using Su-Field Modeling Method Integrated
with Extension of Matter-Element

Chang-Tzuoh Wu, Hung-Jen Yang, Hsueh-Chih Lin, Shang Ming Su

Recent Researches in Artificial Intelligence, Knowledge Engineering and Data Bases
ISBN: 978-960-474-273-8

A Study on the Geometry Model for Accuracy Evaluation in Numerically Controlled Milling

Chang-Tzuoh Wu, Hung-Jen Yang, Hsueh-Chih Lin, Shang Ming Su

Mining of Frequent Itemsets with JoinFI-Mine Algorithm 73

Supatra Sahaphong, Gumpon Sritanratana

A Convergence Theorem for Jungck-Ishikawa Iteration 79

Bhagwati Prasad, Ritu Sahni

A Particular Proposal Towards the Internal Architecture of the Inferential Motor Learning
Process and its Entropy Congruence with the Procedural Refactoring of Computerization

Nicolae Neagu, Dana Badau, Cristina Branea, Virgil Tudor, Elena Sabau, Gabriel Marin

A Study of Effect Affecting to Energy in Drying ProcessbyFailure Modes and Effect Analysis

Vanchai Laemlaksakul

Neural Cognitions of Perceiving Chinese Characters: Phonological versus Logographical

Shu-Yu Lyu, Wun-Tsong Chaou, Hao-Yu Yang

Status, Needs and Problems for Using Online Course of Industrial Technology Filed at
Rajamangala University of Technology Isan

Supreeya Siripattanakunkajorn, Khomsan Reetanon, Santirat Nansaarng

Optimal Operation of Chiller System Using Fuzzy Control 109

Zazilah May, Nursyarizal Mohd Nor, Kamaruzaman Jusoff

The Obstructed & Required Competence of Skills Development trainers Department of Skill
Development, Thailand

Montree Prajugjit, Sittichai Kaewkuekool

Risk Perception of the E-Payment Systems: A Young Adult Perspective 121

Aw Yoke Cheng, Noor Raihan Ab Hamid, Eaw Hooi Cheng

Contribution to Content Delivery Network Analysis 128

Zoran Bojkovic, Zoran Milicevic

Risk Management of Internet Banking 134

Shapoor Zarei

Clustering with Complex Centers

Issam Dagher

Extraction of Interpretable Rules from Piecewise-Linear Approximation of a Nonlinear
Classifier Using Clustering-Based Decomposition

Andrey Bondarenko, Vilen Jumutc

The Advantage of the New Technologies in Learning 150

Florin Radu, Valentin Radu, Gabriel Croitoru

Recent Researches in Artificial Intelligence, Knowledge Engineering and Data Bases
ISBN: 978-960-474-273-8

Lattices and Patterns 156

Sylvia Encheva

Dominance Relations in Rough Sets Approximations for Assessing Students Knowledge 162

Sylvia Encheva

Galois Sub-Hierarchy and Orderings 168

Sylvia Encheva

Interval Data and Nested Lattices

Sylvia Encheva

Some Fuzzy Logic based Predictions 176

Sylvia Encheva

Technology Development Model used for a Small Company in Romania (Creation and Use of
an On Line Shop)

Rozalia Nistor, Costel Nistor, Mihaela-Carmen Muntean

Modern Computer Systems, Support of Seeking Competitive Advantage in the Romanian
Railway Transportation

Costel Nistor, Rozalia Nistor, Mihaela-Carmen Muntean

A Learning System of Digital Designing and Manufacturing for Creative Products 193

Wei-Yuan Dzan, Hsueh-Chih Lin, Lung- Hsing Kuo , Shang Ming Su, Chang-Tzuoh Wu, Hung-Jen

Adaptive Neuro-Fuzzy Modeling for Crop Yield Prediction

Kefaya Qaddoum, Evor Hines, Daciana Illiescu

Informing and Socializing in Interactive Spaces: Delivering the Right Information to the Right

Fernando Ribeiro, Monica Costa, Jose Metrolho

Ways to Increase the Efficiency of Information Systems

Manole Velicanu, Iulia Surugiu, Daniela Litan, Ovidiu Raduta, Larisa Copcea Teohari, Mihai
Teohari, Aura-Mihaela Mocanu Virgolici

Server Farms’ Power Consumption Minimized Via Best Allocation of Servers and Ancillary

Sondos A. Moreb, Stuart O. Walker

Implementation of Spatio-Temporal Data Types with Java Generics 228

Kresimir Krizanovic, Zdravko Galic, Mirta Baranovic

Improving the Performance of Minor Class in Decision Tree Using Duplicating Instances

Hyontai Sug

An Efficient Discovery of Class-Restricted MARs

Hyontai Sug

Seeking for Fundamental Factors behind the Co-Movement of Foreign Exchange Time Series,
using Blind Source Separation Techniques

Vasile Georgescu, Alice Dalina Matei

Recent Researches in Artificial Intelligence, Knowledge Engineering and Data Bases
ISBN: 978-960-474-273-8

Cosmology, Holography, the Brain and the Quantum Vacuum 249

Antonio Alfonso-Faus

An Overview of Migrative Triangular Norms 255

Imre J. Rudas, Janos Fodor

On Possibilistic Correlation Coefficient and Ratio for Fuzzy Numbers 263

Robert Fuller, Istvana Harmati, Jozsef Mezei, Peter Varlaki

The AHP Extended Fuzzy Based Risk Management

Marta Takacs, Tothne Laufer Edit

An Introduction in the Design of Decision Support Systems Mixed with Soft Computing, for
Extreme Risk Management (DSS-ERM)

Prelipcean Gabriela, Boscoianu Mircea

A Simple Algorithm for Pitch Distance Determination 279

Gyula Hermann

Information Technology In Supporting Knowledge Management 283

Vasile Horga, Mihaela Horga, Maria Gabriela Horga

Financial Control In Preventing And Combating Money Laundering 288

Vasile Horga

Bioclimate Weather Classification of Doboj for Helth Spa Tourism 292

Milovan Pecelj, Milica Pecelj, Milisav Cutovic, Mila Pavlovic, Dragica Zivkovic, Ljiljana Zivkovic,
Snezana Vujadinovic, Jelena Pecelj, Mirjana Gajic, Danimir Mandic

HOSVD Based Image Processing Techniques 297

Andras Rovid, Imre J. Rudas, Szabolcs Sergyan, Laszlo Szeidl

Applying Big 6 on Digital Book for Supporting Learning 303

Lung-Hsing Kuo, Shao-Chun Yang, Wen-Chen Hu, Chang-Tzuoh Wu, Hung-Jen Yang, Hsueh-Chih

Decision Support System in Physical Education 309

Danimir Mandic, Dragan Martinovic, Nenad Lalic, Veljko Bandjur

Towards Human Controlled Intelligent Product Engineering Systems 314

Laszlo Horvath, Imre J. Rudas

Towards a Hierarchical Temporal Memory Based Self-managed Dynamic Trust Replication
Mechanism in Cognitive Mobile Ad-Hoc Networks

Ricardo J. Rodriguez, James A. Cannady

The Role of Contemporary Information and Communication Technologies in Marketing
Decision in the Enterprise

Radovan Tomic, Dragica Tomic, Maja Durica, Gordana Tomic

Algorithm and Program for the Temperature Analysis in a Fire Compartment 334

D. Pintea, R. Zaharia

Semantical Case Based Reasoning related to Virtual Doctor System (VDS)

Hamido Fujita, Jun Hakura, Masaki Kurematsu

Recent Researches in Artificial Intelligence, Knowledge Engineering and Data Bases
ISBN: 978-960-474-273-8

Cloud based Unsupervised Learning Architecture based on Mirroring Neural Networks 350

K. Eswaran, C.Chaitanya

In the Artificial Society of Choosing Digitalized Teaching Materials with Theory of Planned

Rong-Jyue Fang, Hua- Lin Tsai, Chi -Jen Lee, Chin An- Lin

In the Artificial Society of E-Learning Enhances the Learning Effect 359

Rong-Jyue Fang, Hua- Lin Tsai, Chi -Jen Lee, Chien Cheng-Wu

In the Artificial Society of Whiteboard to Improve Teaching 366

Rong-Jyue Fang, Hua- Lin Tsai, Chi -Jen Lee, Cheng-En Hung

In the Artificial Society of Elementary Schools have a Trouble in Life Course Teaching

Rong-Jyue Fang, Wen-Jiuh Chiang, Hua- Lin Tsai, Wan Ching Wu

A Study of The Artificial Society for Teaching Multimedia Network 382

Rong-Jyue Fang, Wen-Jiuh Chiang, Hua- Lin Tsai, Yung-Sheng Chang

In the Artificial Society of Impetus Electronic Textbook in Widespread Use 389

Rong-Jyue Fang, Yi-Hsing Chang, Hua- Lin Tsai, Tien-Sheng Tsai

A Descriptive Model for Predicting Popular Areas in a Web Map 397

Ricardo Garcia, Juan Pablo De Castro, Maria Jesus Verdu, Elena Verdu, Luisa Maria Regueras,
Pablo Lopez

A Computational Framework for Academic Accreditation and Assessment in Higher
Education (A3-HE) – Part 1 Academic Processes

Aboubekeur Hamdi-Cherif

A Computational Framework for Academic Accreditation and Assessment in Higher
Education (A3-HE) – Part 2 Technologies

Aboubekeur Hamdi-Cherif

Normalization of Relations and Ontologies

Lule Ahmedi, Edmond Jajaga

An Analysis of the Performances of Intelligent Hybrid Decision Support Systems with
Applications in Crisis Management

Prelipcean Gabriela, Boscoianu Mircea

Authors Index

Recent Researches in Artificial Intelligence, Knowledge Engineering and Data Bases
ISBN: 978-960-474-273-8

Plenary Lecture 1

Aggregation in Intelligent Systems

Professor Imre J. Rudas
Obuda University, Hungary

Abstract: The problem of aggregating information represented by fuzzy sets in a meaningful way has been of central
interest since the late 1970s. In most cases, the aggregation operators are defined on a pure axiomatic basis and are
interpreted either as logical connectives (such as t-norms and t-conorms) or as averaging operators allowing a
compensation effect (such as the arithmetic mean).
On the other hand, it can be observed by some empirical tests that the above-mentioned classes of operators differ
from those ones that people use in practice. Therefore, it is important to find operators that are, in a sense, mixtures
of the previous ones, and allow some degree of compensation.
This talk summarizes the research results of the author and his co-workers that have been carried out in recent years
on generalization of conventional aggregation operators. This includes, but is not limited to, the class of uninorms and
nullnorms, absorbing norms, distance- and entropy-based operators, quasi-conjunctions and nonstrict means.

Brief Biography of the Speaker:
Imre J. Rudas graduated from Banki Donat Polytechnic, Budapest in 1971,
received the Master Degree in Mathematics from the Eotvos Lorand University, Budapest, the Ph.D. in Robotics from
the Hungarian Academy of Sciences in 1987, while the Doctor of Science degree from the Hungarian Academy of
Sciences in 2004. He received his first Doctor Honoris Causa degree from the Technical University of Kosice,
Slovakia and the second one from “Polytechnica” University of Timisoara, Romania.
He is active as a full university professor. He served as the Rector of Budapest Tech from August 1, 2003 for a period
of four years, and was reelected for three years in 2007. From 2010 Budapest Tech is changed to Obuda University
and he was elected as the rector for five years.
He is a Fellow of IEEE, Senior Administrative Committee member of IEEE Industrial Electronics Society, member of
Board of Governors of IEEE SMC Society, Chair of IEEE Hungary Section and Vice-President of the Hungarian
Academy of Engineering.
He is the treasurer of IFSA (International Fuzzy System Association), he had been the President of Hungarian Fuzzy
Association for ten years.
He serves as an associate editor of some scientific journals, including IEEE Transactions on Industrial Electronics,
member of editorial board of Journal of Advanced Computational Intelligence, member of various national and
international scientific committees. He is the founder of the IEEE International Conference Series on Intelligent
Engineering Systems (INES) and IEEE International Conference on Computational Cybernetics (ICCC), and some
international symposia. He has served as General Chairman and Program Chairman of numerous scientific
international conferences.
His present areas of research activity are Computational Cybernetics, Robotics with special emphasis on Robot
Control, Soft Computing, Computed-aided Process Planning, Fuzzy Control and Fuzzy Sets. He has published
books, more than 450 papers in books, various scientific journals and international conference proceedings. He
received more than 600 citations for his publications.
Recent Researches in Artificial Intelligence, Knowledge Engineering and Data Bases
ISBN: 978-960-474-273-8

Plenary Lecture 2

Cosmology, Holography, the Brain and the Quantum Vacuum

Professor Antonio Alfonso-Faus
"Ad Honorem" Madrid Technical University (UPM)

Abstract: Cosmology, as a science, started at the beginning of the last century with the advent of the Einstein
cosmological equations. Based on these equations, the present main stream cosmological model is the well known
big-bang (this name unwillingly coined by Fred Hoyle many years ago). Relatively recent additions to this model have
been inflation, dark matter and dark energy.
This talk presents a smoothly behaved new cosmological model that mainly takes into account the "dark" part of the
Universe. We consider it as the background frame, the substrate, of what we see. The inclusion of the holographic
principle clarifies the entropy problem that we also apply to the human brain. We take it as an engineering information
center. Finally, the inclusion of the quantum vacuum in this scene creates an important challenge, an opportunity for
future research in the knowledge of the Universe.

Brief Biography of the Speaker:
Antonio Alfonso-Faus graduated from the Technical University of Madrid (UPM),
Spain, in 1964. He received the Diploma Space Science (Physics and Dynamics) from the University College,
London, U.K., in 1965. Then he received the Master of Science Degree in Physics and Mathematics from the
University of Minnesota, U.S.A., in 1967, followed by the Ph.D. Degree (Physics and Mathematics) at the same
University, in 1968. He also holds a Doctor of Aeronautical Engineering Degree from the Technical University of
Madrid (UPM), Spain, in 1969. Presently he is active as an Ad Honorem Professor (2010), at the same UPM, where
he has served teaching and researching for the last 35 years. He served as academic positions: member of the board
(6 years), coordinator of the Mechanical Engineering Unite (10 years) and Director of the "Aerotecnia" Department (6
years) at the E.U.I.T. Aeronautica, UPM.
He was a collaborator (5 years, 1968-1973) for the National Technical Institute for Aerospace (INTA, Spain), worked
for Iberia L.A.E. (22 Years, 1973-1995) bridging knowledge between the University and the Industry. Member of the
S.A.E. (U.S.A.) for aircraft engines technical specification for the Industry, Chairman of the Engine Trend Monitoring
Team (ATLAS, four years), referee for various international scientific journals, chairman of various scientific
international conferences (Frontiers of Fundamental Physics, Science for Health), full professor of Mechanical
Engineering at the UPM (1995-2009), Golden Medal Award (UPM, 1999).
Research activities: Solar Wind, Interplanetary Magnetic Field, Lunar Wake, Cosmology and Astrophysics.
Recent Researches in Artificial Intelligence, Knowledge Engineering and Data Bases
ISBN: 978-960-474-273-8

Plenary Lecture 3

Content Delivery Networks: Evolution, Technology, Functions, Potential Solutions,
Research Areas

Professor Zoran Bojkovic
Full Prof. of Electrical Engineering
University of Belgrade, Serbia

Abstract: Content delivery network (CDN) is a comprehensive, end- to-end solution for optimizing global networks for
Web content delivery. Users requesting information from a Web site may have those requests served from a location
closer to them than the original server on which it is generated. By serving content from points a lot closer to the user,
a CDN reduces the likelihood of hot spots by dispersing the different points of convergence and by distributing the
workload among multiple servers. Delivering content from the edge of the network instead of the original server has
the added benefit of additional reliability. The probability of the lost packets is decreased, while the performance of
streaming audio and video is improved.
CDNs deploy servers in multiple geographically diverse locations in order to redirect users requests to the nearest
available servers. End users observe higher QoS, while content providers offer more reliable and larger volumes of
the service. At the same time, Internet service providers (ISPs) can also benefit from deploying CDN servers in their
networks, as the total amount of the traffic transmitted in the backbone is reduced. In order to address the issue faced
by many content providers, companies started to provide a service called content distribution network service.
Content distribution network is a "shared" infrastructure in that the mirror servers (also called replica servers)
belonging to a network service provider are usually "shared" between multiple content providers. The value provided
by the network service providers is measured by the amount of content downloaded from the major servers and the
peak bandwidth needed to serve the content from the mirror servers. One of the main challenges for providers is to
be able to find the "nearest" mirror server corresponding to a client. Typically, the IP address of the client is used to
identify the location of the client.
This plenary speech is organized as follows. After the introduction, showing the current status in the area, the next
section will describe the evolution of content delivery technologies, together with content delivery network functions.
The fact that the content delivery technique offers the service of large scale based on IP networks is taken into
account. In order to satisfy QoS requirements for heterogeneous Internet applications, system performances are
improved. The second part deals with potential solutions to problems in IP networks. The emerging applications
require varying amounts of reliability, functionality, speed, efficiency, cost, effectiveness and scalability. Therefore, it
is necessary to bridge the gap between the emerging heterogeneous applications with various demands of service
capacity and IP networks. The emerging challenges are server placement and organization, content distribution,
request routing and system management. Several approaches are opened for consideration like: efficient streaming
in future Internet, end-to-end multimedia communications across complex combinations of networks, peer-to-peer
hybrid or fully distributed networking for content handling, content adaptation to facilitate content capabilities, etc.

Brief Biography of the Speaker: Prof. dr Zoran Bojkovic is full professor of Electrical Engineering, University of
Belgrade, Serbia. Also, he is a permanent visiting professor at the University of Texas at Arlington, TX, USA, EE
Department. Until now, he has taught a number of courses in Electrical Technology, Telecommunication Systems,
Image and Video Processing, Multimedia Wire/Wireless Communication Systems. He is the author or co-author of 6
international books published in USA, Canada, Singapore, China, India, Greece and Romania. Also, he has
published 2 national monographies, 13 textbooks as well as more than 400 papers in peer-reviewed journals and
conference proceedings. He has been Editor-in-Chief in 2 and Associate Editor in 3 WSEAS Journals. At present, he
is a member of Editorial Board in 6 International Journals. He is co-editor in 51 International Books and International
Conference Proceedings. He has conducted workshops/tutorials and seminars worldwide and participated in more
than 70 research and industrial projects all over the world. Also, he has been a consultant to industry, research
institutes and academia. Prof. Bojkovic is an active researcher in wire/wireless multimedia communications. He is a
Senior Member of IEEE and WSEAS member of EURASIP. He is a full member of Engineering Academy of Serbia
and a member of Serbian Scientific Society.
Recent Researches in Artificial Intelligence, Knowledge Engineering and Data Bases
ISBN: 978-960-474-273-8

Plenary Lecture 4

Case-Based Reasoning Framework for Medical Diagnosis for Virtual Doctor System

Professor Hamido Fujita
Iwate Prefectural University
Iwate, Japan

Abstract: This plenary talk will provide an outline on our experience to build a virtual doctor system based on
semantic case based reasoning (CBR) framework. Patients and users are categorized based on mental ontology
framework and mental ontology framework. These two frame works are represented in OWL, (Ontology Web
Language) for reasoning purpose. The CBR are categorized based on these ontologies. The reasoning has used
Bayesian network based on collected relative decisions related to CBRs instantiated in relations to the observed
parameters reflected on alignment of physical ontology and mental ontology. The resulted alignment namely the
medical ontology represents a semantic CBR reflecting the patient symptoms. This talk gives an overview of these
techniques and how to deploy them to build a prototype that can be used in local regional medical hospital in Japan.

Brief Biography of the Speaker: Dr. Hamido FUJITA, is a professor at Iwate Prefectural University (IPU), Iwate,
Japan. He is director of ARISES (Advanced Research Institute on Software Strategies,)
He is the director of Intelligent Software Laboratory. He was associate Professor at the University de Montreal,
Canada. On 1997 he moved back to Japan to become an executive committee member to establish Iwate Prefectural
University on 1997. Then after from April 1998, he joined Iwate Prefectural University (IPU), Faculty of Software and
Information Science, as Professor and head of Information System, directing at IPU two laboratories, Intelligent
Software System Laboratory and Cognitive Systems Laboratory. He was a committee of establishing the Graduate
School of Software Science, of IPU from 2000 for new Master and Doctor Programs that used Software practices
Approach (SPA) concept as it main educational system in education. He has directed and led many project
sponsored by the Ministry of Science, Education and Culture of Japan, and others from International sponsors and
industry sponsors project on new software methodologies and intelligent systems. He contributed in software related
inventions and got several international industrial Patents on new software methods on tableau related development.
He has founded the SOMET (Software Methodologies, Tools and Techniques) organization on year 2000 in Paris,
France marched to its 10th Anniversary. He has been invited to many universities in EU, and North America. He has
supervised Ph.D students jointly with University of Laval, (Canada) University Technology, Sydney (UTS) Australia,
He is also Professor at the University of Laval, Quebec, Canada supervising Graduate Studies students, he was a
visiting Professor at the University of Paris_1, Sorbonne, 2003~2004. He worked as opponent for Ph.D student
examination at Stockholm University, Sweden. He edited several special issues in International Journals on many hot
issues in related to Knowledge based system and software technologies. He is currently heading a project on
Intelligent HCI, and a project related to Mental Cloning as an intelligent user interface between human user and
computers, supported by MEXT (Ministry of Education, Culture, Sports, Science and Technology), and SCOPE
project on Virtual Doctor Systems, supported by Ministry of Internal Affairs, and Communications of Japan. He also,
has several joint industrial projects with Japanese industry.

Recent Researches in Artificial Intelligence, Knowledge Engineering and Data Bases
ISBN: 978-960-474-273-8
Authors Index

Ab Hamid, N. R. 121

Hakura, J. 340

Nistor, R. 181,


Ahmedi, L. 419

Hamdi-Cherif, A. 403,


Paleenud, I. 45

Alfonso-Faus, A. 249

Harmati, I. 263

Pavlovic, M. 292

Aninbon, P. 55

Hermann, G. 279

Pecelj, J. 292

Badau, D. 85

Hines, E. 199

Pecelj, M. 292

Bandjur, V. 309

Horga, M. 283

Pecelj, M. 292

Baranovic, M. 228

Horga, M. G. 283

Petchurai, O. 49

Bojkovic, Z. 128

Horga, V. 283,


Phontrakoon, K. 52

Bondarenko, A. 145

Horvath, L. 314

Pinta, C. 41

Boscoianu, M. 273,


Hu, W.-C. 303

Pintea, D. 334

Branea, C. 85

Hung, C.-E. 366

Prajugjit, M. 116

Buranajant, N. 38,


Illiescu, D. 199

Prasad, B. 79

Cannady, J. A. 320

Jajaga, E. 419

Qaddoum, K. 199

Chaitanya, C. 350

Jumutc, V. 145

Radu, F. 150

Chang, Y.-H. 389

Jusoff, K. 109

Radu, V. 150

Chang, Y.-S. 382

Kaewkuekool, S. 116

Raduta, O. 211

Chaou, W.-T. 95

Krizanovic, K. 228

Reetanon, K. 98

Cheng, A. Y. 121

Kuo , L.-H. 193,


Regueras, L. M. 397

Cheng, E. H. 121

Kurematsu, M. 340

Ribeiro, F. 205

Chiang, W.-J. 374,


Laemlaksakul, V. 91

Rodriguez, R. J. 320

Chien, C.-W. 359

Lalic, N. 309

Rovid, A. 297

Chin, A.-L. 354

Laohaphiboonrattana, K.


Rudas, I. J. 255,



Copcea Teohari, L.


Lee, C.-J. 354,



Saad, R. A. 32

Costa, M. 205

Lertkulvanich, S. 38

Sabau, E. 85

Croitoru, G. 150

Lin, H.-C. 59,


Sahaphong, S. 73

Cutovic, M. 292

Lin, H.-C. 193,


Sahni, R. 79

Dagher, I. 140

Litan, D. 211

Sergyan, S. 297

De Castro, J. P. 397

Lopez, P. 397

Siripattanakunkajorn, S.


Durica, M. 329

Lyu, S.-Y. 95

Sombunsukho, S. 38,


Dzan, W.-Y. 193

Magalhaes-Mendes, J. 26

Sombunsukho, S. 52,

Edit, T. L. 269

Mandic, D. 292,


Sonjai, M. 41

Ellman, R. 19

Manolache, G. M. 85

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Recent Researches in Artificial Intelligence, Knowledge Engineering and Data Bases
ISBN: 978-960-474-273-8

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Recent Researches in Artificial Intelligence, Knowledge Engineering and Data Bases
ISBN: 978-960-474-273-8